Fault-tolerant control of nonlinear heterogeneous multi-agent systems with sensors/ actuators faults under inconsistent Markov via double event-triggered strategy

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Abstract This paper addresses the fault-tolerant control of nonlinear heterogeneous multi-agent systems with actuators and sensors affected by faults under inconsistent Markov switching topology.A double event-triggered strategy is introduced to reduce the communication burden in the network and to improve the effectiveness.Moreover, to avoid Zero behavior, the considered event-triggered conditions are dependent on sampled-data.Based on this, the state observers and fault estimators are designed to estimate the system states and faults, and the estimation results are utilized to design the fault-tolerant controllers.The stability criterion of the estimated error system can be obtained based on Lyapunov theory and some inequality techniques.Finally, the effectiveness of the proposed method is verified by a numerical simulation.
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Fault-tolerant control of nonlinear heterogeneous multi-agent systems with sensors/ actuators faults under inconsistent Markov via double event-triggered strategy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Fault-tolerant control of nonlinear heterogeneous multi-agent systems with sensors/ actuators faults under inconsistent Markov via double event-triggered strategy Dongxiao Hu, Jianwei Ma, Shaofei Zang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6947425/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract This paper addresses the fault-tolerant control of nonlinear heterogeneous multi-agent systems with actuators and sensors affected by faults under inconsistent Markov switching topology.A double event-triggered strategy is introduced to reduce the communication burden in the network and to improve the effectiveness.Moreover, to avoid Zero behavior, the considered event-triggered conditions are dependent on sampled-data.Based on this, the state observers and fault estimators are designed to estimate the system states and faults, and the estimation results are utilized to design the fault-tolerant controllers.The stability criterion of the estimated error system can be obtained based on Lyapunov theory and some inequality techniques.Finally, the effectiveness of the proposed method is verified by a numerical simulation. Physical sciences/Engineering Physical sciences/Mathematics and computing fault-tolerant control heterogeneous multi-agent systems inconsistent Markov double event-triggered Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 29 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 28 Jul, 2025 Reviews received at journal 25 Jul, 2025 Reviewers agreed at journal 14 Jul, 2025 Reviews received at journal 06 Jul, 2025 Reviewers agreed at journal 27 Jun, 2025 Reviewers invited by journal 26 Jun, 2025 Editor assigned by journal 26 Jun, 2025 Editor invited by journal 23 Jun, 2025 Submission checks completed at journal 23 Jun, 2025 First submitted to journal 21 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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